Microsatellite fragment analysis using the ABI PRISM ® 377 DNA sequencer

Genetic Investigation of the Trail Mechanism in Diabetic and Non-diabetic Obese Patients

Obesity is an important healthcare issue caused by abnormally increased adipose tissue because of energy-intake overcoming energy expenditure. Disturbances in the physiological function of adipose tissue mediate the development of diabetes. It is a metabolic disease that results from decreased insulin-levels and/or changes in the insulin action mechanism. Tumor Necrosis Factor-Associated Apoptosis-Inducing Ligand(TRAIL), which is a member of the Tumor Necrosis Factor(TNF)-family with an important role in adipose tissue biology, is included in many studies with its ability to induce apoptosis in cancer cells, but the number of human-studies conducted on the gene related to its protective-role against diabetes and obesity at this level is insufficient. Our study was carried out as a case and control and included three groups (80 diabetic obese, 80 non-diabetic obese, and 80 healthy individuals as the control group). The Real-Time-PZR(RT-qPZR), and DNA Sanger-Sequencing Methods were used for gene expression and gene squences. As a result of the analyses, TRAIL gene expression level was found to be higher in the controls than in the diabetic-obese and non-diabetic-obese group. This change in TRAIL gene expression suggests that TRAIL maybe a protective factor against diabetes. The presence of rs781673405, rs143353036, rs1244378045, rs767450259, rs759369504, rs750556128, and rs369143448 mutations, which was determined with the Sequencing-Method, was shown for the first time in the present study. In addition, it is the first study in which human TRAIL gene-expression and sequencing were performed together. We believe that these data will make an important contribution to the literature.

Microsatellite analysis of genotype distribution patterns of Candida albicans vulvovaginal candidiasis in Nanjing, China and its association with pregnancy, age and clinical presentation

PURPOSE

To characterize the genotype distribution pattern of Candida albicans associated with vulvovaginal candidiasis (VVC) in Nanjing, China by microsatellite genotyping.

METHODS

A questionnaire was completed by each patient diagnosed with VVC. A total of 208 independent C. albicans was isolated from 208 patients. Microsatellite genotyping characterized the genotype distribution by analysis of the CAI locus marker.

RESULTS

PCR of CAI fragments showed the three major genotypes contained 30:45, 21:21 and 32:46 alleles among the 51 genotypes detected, accounting for 29.3, 13.0 and 12.0 % of 208 clinical isolates. Genotype distributions had a similar pattern among different clinical presentations (P = 0.219). In both groups of the (21-30) and (31-40) years, 30:45 was the most frequent genotype allele detected. In the (21-30) year females, 16.5 % of the isolated strains had the genotype 21:21, while the same genotype in the group of (31-40) years was 6.9 %. Genotype distributions were significant difference between the pregnant and non-pregnant women (P < 0.001). 30:45 was detected only one in the 23 pregnant women.

CONCLUSIONS

The results indicated a unique genotype distribution of C. albicans associated with VVC in Nanjing, eastern China and a different distribution pattern was also detected in pregnant women compared to non-pregnant women.

Resolving genomic disorder-associated breakpoints within segmental DNA duplications using massively parallel sequencing

The most common recurrent copy-number variants associated with autism, developmental delay and epilepsy are flanked by segmental duplications. Complete genetic characterization of these events is challenging because their breakpoints often occur within high-identity, copy-number polymorphic paralogous sequences that cannot be specifically assayed using hybridization-based methods. Here we provide a protocol for breakpoint resolution with sequence-level precision. Massively parallel sequencing is performed on libraries generated from haplotype-resolved chromosomes, genomic DNA or molecular inversion probe (MIP)-captured breakpoint-informative regions harboring paralog-distinguishing variants. Quantification of sequencing depth over informative sites enables breakpoint localization, typically within several kilobases to tens of kilobases. Depending on the approach used, the sequencing platform, and the accuracy and completeness of the reference genome sequence, this protocol takes from a few days to several months to complete. Once established for a specific genomic disorder, it is possible to process thousands of DNA samples within as little as 3-4 weeks.